In [1]:
import pandas as pd
import numpy as np

import seaborn as sns
import matplotlib.pyplot as plt
In [5]:
tracks_data = pd.read_csv("dataset/tracks.csv")
In [14]:
tracks_data
Out[14]:
id name popularity duration_ms explicit artists id_artists release_date danceability energy key loudness mode speechiness acousticness instrumentalness liveness valence tempo time_signature
0 35iwgR4jXetI318WEWsa1Q Carve 6 126903 0 ['Uli'] ['45tIt06XoI0Iio4LBEVpls'] 1922-02-22 0.645 0.4450 0 -13.338 1 0.4510 0.674 0.744000 0.1510 0.1270 104.851 3
1 021ht4sdgPcrDgSk7JTbKY Capítulo 2.16 - Banquero Anarquista 0 98200 0 ['Fernando Pessoa'] ['14jtPCOoNZwquk5wd9DxrY'] 1922-06-01 0.695 0.2630 0 -22.136 1 0.9570 0.797 0.000000 0.1480 0.6550 102.009 1
2 07A5yehtSnoedViJAZkNnc Vivo para Quererte - Remasterizado 0 181640 0 ['Ignacio Corsini'] ['5LiOoJbxVSAMkBS2fUm3X2'] 1922-03-21 0.434 0.1770 1 -21.180 1 0.0512 0.994 0.021800 0.2120 0.4570 130.418 5
3 08FmqUhxtyLTn6pAh6bk45 El Prisionero - Remasterizado 0 176907 0 ['Ignacio Corsini'] ['5LiOoJbxVSAMkBS2fUm3X2'] 1922-03-21 0.321 0.0946 7 -27.961 1 0.0504 0.995 0.918000 0.1040 0.3970 169.980 3
4 08y9GfoqCWfOGsKdwojr5e Lady of the Evening 0 163080 0 ['Dick Haymes'] ['3BiJGZsyX9sJchTqcSA7Su'] 1922 0.402 0.1580 3 -16.900 0 0.0390 0.989 0.130000 0.3110 0.1960 103.220 4
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
586667 5rgu12WBIHQtvej2MdHSH0 云与海 50 258267 0 ['阿YueYue'] ['1QLBXKM5GCpyQQSVMNZqrZ'] 2020-09-26 0.560 0.5180 0 -7.471 0 0.0292 0.785 0.000000 0.0648 0.2110 131.896 4
586668 0NuWgxEp51CutD2pJoF4OM blind 72 153293 0 ['ROLE MODEL'] ['1dy5WNgIKQU6ezkpZs4y8z'] 2020-10-21 0.765 0.6630 0 -5.223 1 0.0652 0.141 0.000297 0.0924 0.6860 150.091 4
586669 27Y1N4Q4U3EfDU5Ubw8ws2 What They'll Say About Us 70 187601 0 ['FINNEAS'] ['37M5pPGs6V1fchFJSgCguX'] 2020-09-02 0.535 0.3140 7 -12.823 0 0.0408 0.895 0.000150 0.0874 0.0663 145.095 4
586670 45XJsGpFTyzbzeWK8VzR8S A Day At A Time 58 142003 0 ['Gentle Bones', 'Clara Benin'] ['4jGPdu95icCKVF31CcFKbS', '5ebPSE9YI5aLeZ1Z2g... 2021-03-05 0.696 0.6150 10 -6.212 1 0.0345 0.206 0.000003 0.3050 0.4380 90.029 4
586671 5Ocn6dZ3BJFPWh4ylwFXtn Mar de Emociones 38 214360 0 ['Afrosound'] ['0i4Qda0k4nf7jnNHmSNpYv'] 2015-07-01 0.686 0.7230 6 -7.067 1 0.0363 0.105 0.000000 0.2640 0.9750 112.204 4

586672 rows × 20 columns

In [13]:
tracks_data.columns.values
Out[13]:
array(['id', 'name', 'popularity', 'duration_ms', 'explicit', 'artists',
       'id_artists', 'release_date', 'danceability', 'energy', 'key',
       'loudness', 'mode', 'speechiness', 'acousticness',
       'instrumentalness', 'liveness', 'valence', 'tempo',
       'time_signature'], dtype=object)
In [15]:
sns.pairplot(tracks_data[['popularity', 'duration_ms', 'explicit',
                         'danceability', 'energy', 'key',
                          'loudness', 'mode', 'speechiness', 'acousticness',
                          'instrumentalness', 'liveness', 'valence', 'tempo','time_signature']])
Out[15]:
<seaborn.axisgrid.PairGrid at 0x7fcb53aafe50>
In [ ]: